Community Content Strategist

Position Description

As the Community Content Strategist you will build and execute the content strategy that elevates our Okta and Auth0 customer communities into an authoritative destination for identity and security experts. Working closely with the Customer Content, Social Care & Advocacy, and Community Engineer teams, you will turn real-world community expertise and discussions into high-quality content that drives engagement, supports generative search discoverability, and surfaces GTM intelligence across the business.

Job Duties and Responsibilities

Own content strategy and programming: Identify, cultivate, and publish expert-driven content that elevates community voices and builds trust across the Okta and Auth0 communities. Design and run the content programs (e.g. technical deep-dive series, AMAs and member features) that drive meaningful engagement, establish the community as an authoritative destination, and position our most knowledgeable members and internal experts as credible voices in the identity and security space.

• Identify and cultivate Community Champions: Ensure Champion expertise is activated across content programs, GTM initiatives, and community-driven knowledge assets. Build a repeatable process for surfacing these voices and routing them into the right content formats and business moments.
• Own content calendar and operations: Develop and maintain the community calendar across both Okta and Auth0 communities, sequencing content programs and publications to align with product moments, GTM priorities, and audience engagement patterns.
• Support GEO and AEO execution as the community partner: Work closely with the Customer Content team to ensure community content meets generative search eligibility standards. Serve as the community partner responsible for ensuring that high-value discussions, Q&As, and blogs are structured, tagged, and formatted to be discovered and cited by Google AI Overviews, Perplexity, ChatGPT, Gemini, and emerging models.
• Govern the content lifecycle: Conduct audits of both communities by identifying outdated content, flagging technically inaccurate threads, and refreshing top-performing assets. Maintain the content freshness standards that ensure no critical community knowledge ages out of accuracy or relevance without a deliberate decision.
• Build the GTM signal engine: Partner with engineers to design and deploy agentic AI workflows that continuously monitor both communities for strategic signals like trending questions, unmet product needs, sentiment shifts, and buyer intent indicators. Build process to route that intelligence automatically to Product, Marketing, and Customer Success stakeholders who can act on it.
• Surface community knowledge for structured assets: Use community analytics and listening tools to identify high-value discussions, solved problems, expert answers, and emerging questions and work with the Community Engineer teams to transform them into structured, evergreen knowledge assets including FAQs, knowledge base articles, and community blogs that are built to perform in generative search as well as partner with the Social Care & Advocacy Specialist to ensure content is disseminated as part of the content programming strategy.
• Measure what matters: Build and maintain the measurement model that connects community content performance to support deflection, generative search citation frequency, and pipeline influence. Demonstrate the business value of well-governed community knowledge.

Required Skills

• 4 to 7 years of experience in content strategy, community content, or knowledge management.
• Experience building and managing community engagement programs that focus on developing technical and business thought leadership.
• Demonstrated ability to read and work within technical content environments and restructure them into clear, accessible, search-optimized narratives that resonate with a general audience.
• Experience structuring and optimizing content for generative AI engines, including familiarity with how LLMs surface and cite structured content, and experience applying those standards to community environments.
• Experience working with content performance data and analytics tools to build dashboards, identify trends, and communicate findings with clear business context.
• Experience applying content taxonomy frameworks, metadata standards, or information architecture systems at scale.
• Experience working cross-functionally with Product, Marketing, and Customer Success teams to align on shared goals and route intelligence into action.

Preferred Skills

• Experience using analytics tools such as Google Analytics, Tableau, or similar to track content performance and user behavior.
• Background in a B2B SaaS or post-sales environment with exposure to go-to-market motions and customer success programs.
• Experience building or working with agentic AI workflows, automation pipelines, or custom AI tools applied to content or community use cases.